DEV Community

Hrishikesh Mallick
Hrishikesh Mallick

Posted on

Adoption of Graph Databases

What is a Graph Databse?
A graph database is a type of NoSQL database that stores data in collections of nodes and edges instead of a series of columns and rows. Each node represents a data point and each edge defines a relationship between two nodes.

Graph databases use graph theory models to illustrate how data points are related. This type of database is useful for storing data that has complex, indirect relationships and querying the shortest path between two data points.

Increasing Graph Database adoption :

There is a good reason why the world’s forerunner-businesses are increasingly using Graph databases. This modern technology offers unprecedented agility, scalability, and performance for managing vast amounts of highly dynamic and exponentially growing data for various use-cases — this is precisely what today’s applications require.

And, the Graph database is adopted for ever more use-cases and applications as organizations continue implementing the Graph technology.

The Graph database reveals the complex and hidden relationships between separate data sets, allows you to analyze them, to further improve your business processes, and make smarter business decisions, faster.

Graph databases are remarkably efficient at communicating relationships between people or objects. Now that they have evolved to the point of being user-friendly, the full strength of their abilities to predict patterns is being explored. Until this technology is replaced by something better, the strengths of graph databases will continue to be explored and advanced.

The applications are almost endless, especially with modern applications that put a priority on connecting data across an organization, whether that’s application data from ERP or human capital management (HCM) systems, social media interactions or third-party data.

As a final point, graph databases enhance developer productivity for certain problems in ways that other technologies cannot. Storing data in a manner that better represents its real-world counterpart can make it easier for developers to reason over and understand the domain in which they are working. This allows new team members to get up to speed more quickly on the domain. They learn the domain and its database representation simultaneously.

If you are looking for Graph based database, which internally uses relational database checkout:
Apache AGE
Apache AGE Github

Top comments (0)